Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

“…This pilot study explored the feasibility of developing a machine learning model for preoperative PPCs risk stratification by integrating dynamic respiratory physiology from the six-minute walk test (6MWT) with clinical parameters. …”
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Multiomics-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Patients With Extensive-Stage Small Cell Lung Cancer Receiving Chemoimmunotherapy: A Retrospectiv... by Nie F, Pei X, Du J, Shi W, Wang J, Feng L, Liu Y

“…The area under the ROC curve for predicting treatment response using machine learning were 0.764 (95% confidence interval [CI]: 0.707~0.821) and 0.901 (95% CI: 0.846~0.956) in the training and validation sets. …”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…A two-phase classification system trains automation parameters using artificial neural networks together with support vector machines. …”
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Individualized post‐operative prediction of cochlear implantation outcomes in children with prelingual deafness using functional near‐infrared spectroscopy by Zhe Chen, Xue Zhao, Haotian Liu, Yuyang Wang, Zhikai Zhang, Yuxuan Zhang, Yuhe Liu

“…Conclusion Machine learning models using auditory cortical hemodynamic responses shortly after CI activation were able to predict individualized post‐CI behavioral improvement in children with prelingual deafness. …”
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Optical measurement methods of the 3D-position stability of implant-abutment connections - an in vitro study by S. Wenger, L. Martin, A. Kernen-Gintaute, C. Müller, K. Nelson, Florian Kernen

“…The parameters were quantified and scored using a decision matrix. …”
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Myocardial oxygen handling and metabolic function of ex-situ perfused human hearts from circulatory death donors by Jorik H. Amesz, MSc, Sanne J.J. Langmuur, BSc, Mark F.A. Bierhuizen, MD, LLM, Dwight Dumay, BSc, Pieter C. van de Woestijne, MD, Jelena Sjatskig, MD, Lisa E. Sluijter, MSc, Dirk J. Duncker, MD, PhD, Olivier C. Manintveld, MD, PhD, Yannick J.H.J. Taverne, MD, PhD, MSc

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Soil Organic Carbon Estimation and Transfer Framework in Agricultural Areas Based on Spatiotemporal Constraint Strategy Combined with Active and Passive Remote Sensing by Jiaxin Qian, Jie Yang, Weidong Sun, Lingli Zhao, Lei Shi, Hongtao Shi, Lu Liao, Chaoya Dang, Qi Dou

“…Radar cross-polarization ratio index, microwave polarization difference index, shortwave infrared reflectance, and soil parameters (elevation and soil moisture) demonstrate high correlation with the measured SOC. …”
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Short‐circuit current of a hydropower plant with consideration of constant switching and fault arc voltages by Darko Brankovic, Robert Schuerhuber

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Influence of Implant Surfaces on Peri-Implant Diseases – A Systematic Review and Meta-Analysis by Ahmad Hussein, Maanas Shah, Momen A. Atieh, Sara Alhimairi, Fatemeh Amir-Rad, Haitham Elbishari

“…The analysis also demonstrated limited favourable outcomes in terms of periodontal parameters for machined surfaces, with slightly significantly better outcomes in terms of probing pocket depths. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…In this paper, we introduce a novel imbalanced learning approach named Imbalanced Maximizing-Area Under the Curve (AUC) Proximal Support Vector Machine (ImAUC-PSVM), which harnesses the foundational principles of traditional PSVM for the detection of CVDs. …”
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EFFICIENT DIRECTIONS OF DEVELOPMENT OF METHODS OF MECHANICAL PROCESSING OF MATERIALS by Оlеg KLЕNОV, Grygoriy NOVIKOV

“…The analytical dependencies for determining the main parameters of machining are given: the processing capacity, the nominal cutting stress (energy intensity of the treatment), the cutting temperature, the thickness of the heated layer of the processed material during blade machining and grinding. …”
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Music Performers Classification by Using Multifractal Features: A Case Study by Natasa RELJIN, David POKRAJAC

“…As a classifier we used the support vector machines and the classification performance was evaluated by using the four-fold cross-validation. …”
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Blind Steganalysis using One-Class Classification by Mohammed Karem M., Ahmed Nori

“…One-Class Classification (OCC) machine learning algorithms aim to build classification models depending on positive class only when the negative class is not available or poorly sampled. …”
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Optimized design of a permanent magnet brushless DC motor for solar water-pumping applications by Aryadip Sen, Bhim Singh, Kumar Mahtani, Arash Moradzadeh, S.M. Muyeen

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Selection of electric spark processing modes for electrodes from sintered bronze by Romanov I.V., Zadorozhny R.N.

“…Such materials are new for the process of electrospark machining; therefore, it is important to study and select the optimal application modes, since a qualitative characteristic of the process is the indicator of the transfer of the electrode material to the part, which depends on the processing modes and installation parameters. …”
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Determinacion de las características fisicas y propiedades mecanicas de papa cultivada en Colombia Determination of physical characteristics and mechanical properties of potatoes c... by Germán V. Buitrago, Alonso P. López, Alfonso P. Coronado, Fernando L. Osorno

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KAN-Based Tool Wear Modeling with Adaptive Complexity and Symbolic Interpretability in CNC Turning Processes by Zhongyuan Che, Chong Peng, Jikun Wang, Rui Zhang, Chi Wang, Xinyu Sun

“…However, traditional physics-based models lack adaptability, while machine learning approaches are often limited by poor interpretability. …”
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Methodology for Designing Vibration Devices with Asymmetric Oscillations and a Given Value of the Asymmetry of the Driving Force by Mihail D. Gerasimov, Nickolai S. Lubimyi, Andrey A. Polshin, Boris S. Chetverikov, Anastasia Chetverikova

“…In mechanical engineering, the building industry, and many other branches of industry, vibration machines are widely used, in which circular and directed oscillations predominate in the form of movement of the working equipment. …”
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Features of Recruitment: Intelligent Text Analysis of Resume and Vacancies by Irina L. Sizova

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Methodology of conducting experimental studies to assess qualitative and quantitative indicators of drawing prism formation by P. A. Grigorev, L. A. Sladkova

“…It has been established that in order to reduce stickiness, it is necessary to optimize the parameters of the working body, the depth of digging and the time of interaction of the soil with the surface of the working body.…”
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